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🚨 API vs MCP: APIs are great. But MCP? Let's deep dive (<1min) 💡 So what’s the difference? Isn’t MCP just another API in disguise? Not quite. They look similar at first glance — but under the hood, MCP is purpose-built for modern AI and agenti

Greg Isenberg just shared 23 MCP STARTUP IDEAS TO BUILD IN 2025 (ai agents/ai/mcp ideas) and its amazing: "1. PostMortemGuy – when your app breaks (bug, outage), MCP agent traces every log, commit, and Slack message. Full incident report in seconds.

🚀 MCP Architecture: Powering Seamless AI Integration! ⚡ Imagine a world where your AI interacts effortlessly with remote services like Slack, Gmail and Calendar 📅 while also tapping into local data sources 💾 MCP (Multi-Component Processing) bridg

🚨 BREAKING: Anthropic just dropped the tutorial on "Building AI Agents with Claude Agent SDK" Here's what it covers: > Agent Loop Gather context → Take action → Verify work → Repeat. Your agent searches files, executes tasks, checks its output, t

LLMs as Agents Large Language Models (LLMs) like *GPT*, *Claude*, or *Gemini* can act as intelligent. *What does it mean to be an agent?* An *LLM agent* can: • Understand a goal • Break it into steps • Use tools or APIs • Adapt based on c

Another crazy week on AI 🤯 1. OpenAI’s Sora video model was allegedly leaked. 2. RenderNet’s new Video Anyone feature lets you create character consistent videos. 3. Runway Expand Runner H AI agent 4. With Hume, now control a computer with voice

Cursor IDE vs TRAE IDE > Cursor - Free : Only on Auto Mode & GPT 4.1 Paid : Usage based pricing | $20/month > TRAE - Free : All models with Waiting on Que Requests. Paid : $3/month only for first month with 600 Requests on Premium Models like

MCP – The Future Tech Everyone Will Use Tomorrow (Don't Get Left Behind!) -- Imagine you're playing a video game. You press a button, and the game shows your score. That button is like an API (Application Programming Interface). APIs help apps talk

If you're building AI agents, you should get familiar with these 3 common agent/workflow patterns. Let's break it down. 🔹 Reflection You give the agent an input. The agent then "reflects" on its output, and based on feedback, improves and refines.

"What are your thoughts on the current options for convenient and healthy meals? Do you think there's a gap in the market for a service that offers more personalized and health-focused meal delivery?"